Summary: AI-generated messages can make recipients feel more “heard” compared to responses from untrained humans. The research demonstrates AI’s superior ability to detect and respond to human emotions, potentially providing better emotional support. However, the study also found that knowing a message is from AI can make recipients feel less heard, highlighting a bias against …
In 1997 the IBM Deep Blue supercomputer defeated world chess champion Garry Kasparov. It was a groundbreaking demonstration of supercomputer technology and a first glimpse into how high-performance computing might one day overtake human-level intelligence. In the 10 years that followed, we began to use artificial intelligence for many practical tasks, such as facial recognition, …
Summary: Researchers developed an AI algorithm capable of predicting mouse movement with a 95% accuracy by analyzing whole-cortex functional imaging data, potentially revolutionizing brain-machine interface technology. The team’s end-to-end deep learning method requires no data preprocessing and can make accurate predictions based on just 0.17 seconds of imaging data. Furthermore, they devised a technique to …
Summary: Researchers mapped disease trajectories from birth to death, analyzing over 44 million hospital stays in Austria to uncover patterns of multimorbidity across different age groups. Their groundbreaking study identified 1,260 distinct disease trajectories, revealing critical moments where early and personalized prevention could alter a patient’s health outcome significantly. For instance, young men with sleep …
Summary: A new study combines deep learning with neural activity data from mice to unlock the mystery of how they navigate their environment. By analyzing the firing patterns of “head direction” neurons and “grid cells,” researchers can now accurately predict a mouse’s location and orientation, shedding light on the complex brain functions involved in navigation. …
Summary: Researchers have developed an AI method that can predict Alzheimer’s Disease up to seven years before the onset of symptoms, utilizing machine learning to analyze patient records. Their study highlights high cholesterol and osteoporosis—particularly in women—as key predictors, showcasing AI’s potential to unveil complex disease patterns and biological drivers. By integrating clinical data with …
Summary: Researchers developed an artificial intelligence model that accurately determines the sex of individuals based on brain scans, with over 90% success. This breakthrough supports the theory that significant sex differences in brain organization exist, challenging long-standing controversies. The AI model focused on dynamic MRI scans, identifying specific brain networks—such as the default mode, striatum, …
Summary: Dr. Roman V. Yampolskiy, an AI Safety expert, warns of the unprecedented risks associated with artificial intelligence in his forthcoming book, AI: Unexplainable, Unpredictable, Uncontrollable. Through an extensive review, Yampolskiy reveals a lack of evidence proving AI can be safely controlled, pointing out the potential for AI to cause existential catastrophes. He argues that …
Summary: Researchers developed an AI algorithm that, by analyzing brain scans and clinical information, can predict within a week whether an antidepressant will work for patients with major depression disorder. This method could potentially avoid unnecessary prescriptions of sertraline, a commonly used antidepressant, by identifying non-responders early, thus offering better patient care and reducing side …
Summary: Researchers made a significant discovery using an artificial neural network model, suggesting that musical instinct may emerge naturally from the human brain. By analyzing various natural sounds through Google’s AudioSet, the team found that certain neurons in the network selectively responded to music, mimicking the behavior of the auditory cortex in real brains. This …